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Frequentist hypothesis testing is based on a deterministic decision using a prespecified significance level of whether to accept or reject the null hypothesis based on the observed data, assuming that the null hypothesis is actually true. The decision is based on a p-value computed from the observed data. The interpretation of the p-value is that if we repeat the same experiment and use the same testing procedure many times, then given our null hypothesis is true, we will observe the result (test statistic) as extreme or more extreme than the one observed in the sample (100 p-value)% of the times. The p-value cannot be interpreted as a probability of the null hypothesis, which is a common misinterpretation. In fact, it answers the question of how likely are our data given that the null hypothesis is true, and not how likely is the null hypothesis given our data. The latter question can be answered by Bayesian hypothesis testing, where we can compute the probability of any hypothesis of interest.
In such situations, Bayesian econometrics modeling can provide a balance between what's observed in the data and what's reasonable to assume about model parameters to obtain reliable inference.
Java integration Use Java interactively (like JShell) from within Stata. Embed Java code in do-files. Embed Java code in ado-files. Compile and execute Java code "on the fly" without external programs.
All of these sequences could have been generated in one line with generate and with the use of the int and mod functions. The variables b through e are obtained with . gen b = 1 + int((_n - 1)/2) . gen c = 1 + mod(_n - 1, 6) . gen d = 10 + mod(_n - 1, 3) . gen e = 3 - mod(_n - 1, 3) Nevertheless, seq() may save users from puzzling out such solutions or from typing in the needed values. In general, the sequences produced depend on the sort order of observations, following three rules: 1. observations excluded by if or in are not counted; 2. observations are sorted by varlist, if specified; and 3. otherwise, the order is that specified when seq() is called.
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